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1)  reliability function
可信度函数
1.
In this paper, the major works are as follows:In this paper, a method for text categorization based on the fusion of multiple classifiers was presented, reliability function was introduction to select the text that hard to give determine by the main classifier, for these texts, multiple classifiers were used to give the determine which category the unlabeled documents belong to by voting.
通过引入可信度函数,选择出主分类器较难判决的文本,通过辅助分类器,对单一主分类器不易判决的文本通过多分类器投票方式进行判决。
2.
It was to evaluate the experimental result of single classifier using the reliability function,to classify the documents that were hard to be classified by voting.
通过引入可信度函数对单分类器效果进行评价,适时采用辅助分类器对较难分类的文档进行分类投票判决。
2)  belief density function
可信度密度函数
3)  belief distribution funtion
可信度分布函数
4)  BPAF
基本可信度赋值函数
5)  belief function
信度函数
1.
Because some combat effectiveness indexes which are related to human behavior are difficult to be quantified with belief function to explore indefinite problems.
针对某些作战效能指标由于与人的行为等因素关系密切而难以量化,运用信度函数探索不确定评价问题。
2.
The main idea was to obtain belief function using the wavelet coefficient of infrared images and low light level images,then construct fuzzy density using the fuzzy edge evaluation function of local area,finally get fused wavelet coefficient by fuzzy integral and reconstruct fused image by inverse wavelet transform.
首先利用小波系数的区域特征获取模糊积分的信度函数,其次根据局部窗口内的模糊边缘评价函数自适应地构造模糊密度,最后由Choquet模糊积分确定融合后的小波系数,从而得到融合图像。
3.
According to the measurement results of the temperature and the voltage of circuit component,the belief function assignment of two sensors to circuit component,and the fusion belief function assignment was obtained by using DS rule and fuzzy method respectively,th.
通过测试电路中的被诊断元件的工作温度和工作电压,得出了DS证据理论中两传感器对各待诊断元件的信度函数分配,再分别利用利用模糊规则和DS联合规则得到融合后的信度函数分配,从而确定故障元件。
6)  belief functions
信度函数
补充资料:可信度
可信度:指一项测试对其所测度的东西具有前后一致性。
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